课程信息

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学生职业成果

50%

完成这些课程后已开始新的职业生涯

32%

通过此课程获得实实在在的工作福利

12%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 2 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为4 小时
英语(English)
字幕:英语(English), 阿拉伯语(Arabic)

您将学到的内容有

  • Describe the various roles that make up a Data Science team

  • Manage a Data Science team onboarding

  • Know relevant questions for interviewing data scientists

  • Understand how to encourage and empower Data Science teams

您将获得的技能

Team BuildingData ScienceManagementTeam Management

学生职业成果

50%

完成这些课程后已开始新的职业生涯

32%

通过此课程获得实实在在的工作福利

12%

加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始,按照自己的计划学习。
第 2 门课程(共 5 门)
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为4 小时
英语(English)
字幕:英语(English), 阿拉伯语(Arabic)

提供方

约翰霍普金斯大学 徽标

约翰霍普金斯大学

教学大纲 - 您将从这门课程中学到什么

内容评分Thumbs Up91%(3,542 个评分)Info
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完成时间为 4 小时

Building a Data Science Team

完成时间为 4 小时
17 个视频 (总计 83 分钟), 8 个阅读材料, 6 个测验
17 个视频
The Data Team2分钟
When Do You Need Data Science?3分钟
Data Engineer: Qualifications & Skills5分钟
Data Scientist: Qualifications & Skills8分钟
Data Science Manager: Qualifications & Skills4分钟
Where To Find The Data Team2分钟
Interviewing For Data Science5分钟
Onboarding the Data Science Team5分钟
Managing the Data Science Team7分钟
Evaluating Success of the Team6分钟
Embedded Teams vs. Dedicated Groups5分钟
How Does Data Science Interact with Other Groups3分钟
Empowering Others to Use Data5分钟
Common Interaction Difficulties6分钟
Common Internal Difficulties7分钟
Wrap-Up1分钟
8 个阅读材料
Lecture materials and related reading10分钟
Lecture Materials and Related Reading10分钟
Lecture Materials and Related Reading10分钟
Lecture Materials and Related Reading10分钟
Lecture Materials and Related Reading10分钟
Lecture Materials and Related Reading10分钟
Lecture Materials and Related Reading10分钟
Post-Course Survey10分钟
6 个练习
Defining the data science team10分钟
Data team qualifications10分钟
Assembling the team10分钟
Management strategies10分钟
Working with other teams10分钟
Common difficulties10分钟

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关于 数据科学管理 专项课程

Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
数据科学管理

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